Citation

Gerber, Theodore P. Survey of Stratification and Migration Dynamics in Russia, 1985-2001. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2006-07-18. https://doi.org/10.3886/ICPSR04206.v1

The purpose of the study was to collect survey data on the
employment/work histories, family structure histories, and residential
mobility histories of Russian adults from January 1985 through the end
of the survey. The work histories include the following information
about each job held during that time period: occupation, how the job
was found, employer type, industry, and size. In addition,
the survey gathered information on current residence, occupation,
other job characteristics, earnings, sources of household income,
household ownership of consumer goods, basic demographic indicators,
and attitude measures. The data were designed to be used
for multivariate analysis of the factors influencing changes in
employment status, job mobility of various types, changes in marital
status, fertility, and residential mobility in Russia during the
period of 1985-2001. Since the period covered by the histories spans
the final seven years of the Soviet era and the first decade of the
post-Soviet era, the data are uniquely suited for assessing whether
the transition from Soviet-style socialism has affected
stratification, family formation, and migration processes. Moreover,
because the data include work/employment, family structure, and
migration histories, the dataset is uniquely suited for dynamic
analyses of the inter-relationships among states and events in these
three domains. Finally, because the data contain information on each
respondent's oblast (region) of residence at all points in time from
1985-2001, data on regional characteristics can be merged with files
created from the survey data, in order to measure the impact of
regional characteristics on individual-level events. The data can be
used to investigate job and employment transitions, union formation
and dissolution, fertility, departures of children, internal
migration, determinants of earnings, wage arrears, consumption, and
other topics.

Gerber, Theodore P. Survey of Stratification and Migration Dynamics in Russia, 1985-2001. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2006-07-18. https://doi.org/10.3886/ICPSR04206.v1

There are no restrictions on the availability of the
data. However, users should cite the principal investigator (Theodore
P. Gerber) as the author of the dataset, codebook, and technical
report, and acknowledge the financial support of the National Science
Foundation (grant SBE-0096607) for data collection.

(1) This data collection contains Cyrillic characters.
Users are encouraged to set their computer language settings to best
view these foreign-language characters. (2) An additional Stata setup
file (supplementary do file) is included with this data collection to
enable Stata to read foreign-language characters. Instructions on
running the supplementary Stata do file are included in the Stata
setup files. (3) Due to large file size, users may need to allocate
additional memory when reading the Stata system file. (4) The original
dataset was split into two separate parts. Part 1 includes the
original Russian variables only (DATASET to QO26_20). Part 2 includes
the cleaned English variables and constructed variables (DATASET to
RESPID, SEX to TYP4ST).

Multistage probability sample. All urban population points
and rural administrative areas were divided into 65 strata according
to region, a proxy for ethnic composition, size, and administrative
status. A total of 101 PSUs were systematically selected within
strata with probabilities proportionate to size (Moscow and St.
Petersburg were self-representing). SSUs consisting of either
electorate districts (in urban PSUs) or villages (in rural PSUs) were
selected within each PSU such that 8-12 interviews were conducted in
each SSU. Addresses within SSUs were selected using a random walk
algorithm. At each address, the respondent with the nearest birthday
was selected for interview. If no contact could be made with a
designated respondent at a given address after three tries, the
interviewer was permitted to substitute another address using a random
walk algorithm.

The data contain weights calculated by the data producers.
The weights correct the four-way distribution of locality type
(regional capitals, Moscow, St. Petersburg, and other localities),
sex, age group (16 to 24, 25 to 39, 40 to 54, and 55 plus), and
education (higher, complete secondary, and less than secondary) to
equal the population distribution.

Notes

Data in this collection are available only to users at ICPSR member institutions.

This study is provided by ICPSR. ICPSR provides leadership and training in data access, curation, and methods of analysis for a diverse and expanding social science research community.